Quantitative Researcher - Digital Assets

3 дн. назад

SwitzerlandEuropeSeniorOnsite

pythonc++statistical analysisalgorithm development

Research and develop fully-automated low latency crypto trading strategies in a quantitative trading environment.

is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Research within a team of highly experienced Researchers in the low latency, PnL-focused trading space.
Work with a cutting-edge data and software stack.
Work with our high performance computing platform.
Extensive flexibility in exploring PnL-generating opportunities within your research area

has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. Zug is currently looking to expand its Research team, which builds the algorithms that support 's trading activities. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies.
Experience in researching and developing fully-automated low latency crypto trading strategies. Candidates without experience in fully-automated trading strategies shall not be considered for this role.
Background in Statistics, Mathematics, Physics, Computer Science or a related technical field.
Team player.
Strong development skills in Python. Familiarity with C++ is a plus.
Outstanding analytical skills with the ability to learn quickly.
We give people lots of responsibility and the support they need to make an impact from day one and we promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices.
Note that this is an onsite role in Zug, Switzerland, with very limited flexibility for working from home